New direction of nuclear code development: Artificial intelligence

Lianshan Lin; Xing Wang

doi:10.1016/B978-0-12-818190-4.00023-1

New direction of nuclear code development: Artificial intelligence

Lianshan Lin, Xing Wang

Mechanical Properties and Mechanics

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

1 Scopus citations

Abstract

It has been a long-lasting aspiration of the nuclear power community to apply artificial intelligence (AI) technologies to nuclear power plants (NPPs), as AI is expected to substantially improve the efficiency, reliability, and continuity of NPPs. Along with the recent rise of AI featured with machining learning, there is an ever-increasing interest in utilizing the data-orientated technologies for nuclear power. In this chapter, we provide a brief summary of the history of AI and the previous efforts on introducing AI to nuclear reactor systems in 1980s. These histories suggest that although with a promising future, AI in NPPs also faces unique challenges, which are still not fully addressed and need special attention. We also introduced some recent studies that apply machine learning techniques to nuclear code development.

Original language	English
Title of host publication	Nuclear Power Plant Design and Analysis Codes
Subtitle of host publication	Development, Validation, and Application
Publisher	Elsevier
Pages	543-551
Number of pages	9
ISBN (Electronic)	9780128181904
DOIs	https://doi.org/10.1016/B978-0-12-818190-4.00023-1
State	Published - Jan 1 2020

Keywords

Artificial intelligence
Code for nuclear power
Expert system
Machine learning
Nuclear power plants

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10.1016/B978-0-12-818190-4.00023-1

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New direction of nuclear code development: Artificial intelligence

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Keywords

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